Attribution analysis on the changing trend of sesame yield data in southern Henan under climate change

Meng Zhou, Haijiao Liu, Jie Zhang, Guoqiang Li, Hecang Zang, Yajie Qiu, Qing-Hua Zhao, Xiuzhong Yang, Jiantao Zhang, Gu Zheng
{"title":"Attribution analysis on the changing trend of sesame yield data in southern Henan under climate change","authors":"Meng Zhou, Haijiao Liu, Jie Zhang, Guoqiang Li, Hecang Zang, Yajie Qiu, Qing-Hua Zhao, Xiuzhong Yang, Jiantao Zhang, Gu Zheng","doi":"10.1117/12.2674617","DOIUrl":null,"url":null,"abstract":"Analyzing the characteristics of climate change and clarifying the critical climate factors affecting sesame yield are significant for sesame production to cope with future climate change and ensure stable yield and income increase. In this study, trend analysis and mutation analysis were used to study the changing trends of climatic factors, yield per unit area, and climatic yield. The data included meteorological and sesame yield data in Zhumadian City of Henan Province from 1989 to 2018. The stepwise regression model was used to extract critical climate factors, and multiple regression models of sesame climate yield and critical climate factors were established. The contribution rates to sesame yield of the critical climate factors affecting sesame yield were determined. The results showed as follows: from 1989 to 2018, the temperature during the sesame growing period in Henan Province showed an increasing trend, and the minimum temperature showed the most apparent increasing trend, with an average annual increase of 0.03℃. The decreasing trend of precipitation and sunshine duration in the sesame growing period was insignificant, but the inter-annual fluctuation was significant. The coefficient of variation was 40.8% and 15.41%, respectively. The yield per unit area of sesame showed a significant increasing trend, and the annual growth rate was 34.08kg·hm-2. The rising trend of climate yield is not adequate. The critical climate factors affecting sesame climatic yield were sunshine duration and average temperature. The contribution rate of each climate factor to climate yield in each growth period was ranked from the largest to the smallest as the average temperature at the seedling stage, the sunshine duration at the maturity stage, and the sunshine duration at the emergence stage. We have developed a future climate change adaptation strategy for the region based on the findings. The following measures should be taken to produce high-yield and high-quality sesame in south Henan Province. Local production departments should conduct training on high-yield cultivation techniques such as early sowing of sesame and risk management of waterlogging. Research institutions accelerated the selection, demonstration, and promotion of improved sesame seeds. The government has issued preferential agricultural policies.","PeriodicalId":286364,"journal":{"name":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Computer Graphics, Artificial Intelligence, and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2674617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Analyzing the characteristics of climate change and clarifying the critical climate factors affecting sesame yield are significant for sesame production to cope with future climate change and ensure stable yield and income increase. In this study, trend analysis and mutation analysis were used to study the changing trends of climatic factors, yield per unit area, and climatic yield. The data included meteorological and sesame yield data in Zhumadian City of Henan Province from 1989 to 2018. The stepwise regression model was used to extract critical climate factors, and multiple regression models of sesame climate yield and critical climate factors were established. The contribution rates to sesame yield of the critical climate factors affecting sesame yield were determined. The results showed as follows: from 1989 to 2018, the temperature during the sesame growing period in Henan Province showed an increasing trend, and the minimum temperature showed the most apparent increasing trend, with an average annual increase of 0.03℃. The decreasing trend of precipitation and sunshine duration in the sesame growing period was insignificant, but the inter-annual fluctuation was significant. The coefficient of variation was 40.8% and 15.41%, respectively. The yield per unit area of sesame showed a significant increasing trend, and the annual growth rate was 34.08kg·hm-2. The rising trend of climate yield is not adequate. The critical climate factors affecting sesame climatic yield were sunshine duration and average temperature. The contribution rate of each climate factor to climate yield in each growth period was ranked from the largest to the smallest as the average temperature at the seedling stage, the sunshine duration at the maturity stage, and the sunshine duration at the emergence stage. We have developed a future climate change adaptation strategy for the region based on the findings. The following measures should be taken to produce high-yield and high-quality sesame in south Henan Province. Local production departments should conduct training on high-yield cultivation techniques such as early sowing of sesame and risk management of waterlogging. Research institutions accelerated the selection, demonstration, and promotion of improved sesame seeds. The government has issued preferential agricultural policies.
气候变化下豫南地区芝麻产量数据变化趋势的归因分析
分析气候变化特征,明确影响芝麻产量的关键气候因子,对芝麻生产应对未来气候变化,确保稳产增收具有重要意义。本研究采用趋势分析和突变分析方法,研究了气候因子、单产和气候产量的变化趋势。数据包括1989 - 2018年河南省驻马店市气象和芝麻产量数据。采用逐步回归模型提取关键气候因子,建立芝麻气候产量与关键气候因子的多元回归模型。确定了影响芝麻产量的关键气候因子对芝麻产量的贡献率。结果表明:1989 ~ 2018年,河南省芝麻生长期气温呈上升趋势,其中最低气温上升趋势最明显,年均升高0.03℃;芝麻生长期降水和日照时数的减少趋势不显著,但年际波动显著。变异系数分别为40.8%和15.41%。芝麻单产呈显著增长趋势,年增长率为34.08kg·hm-2。气候产量的上升趋势是不够的。影响芝麻气候产量的关键气候因子是日照时数和平均温度。各生育期气候因子对气候产量的贡献率从大到小依次为苗期平均温度、成熟期日照时数、出苗期日照时数。我们根据这些发现为该地区制定了未来的气候变化适应战略。豫南地区要生产高产优质芝麻,应采取以下措施:当地生产部门应开展芝麻早播、内涝风险管理等高产栽培技术培训。科研机构加快良种芝麻选育、示范推广。政府颁布了优惠的农业政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信